大数据赋能高校精准思政:现实困境与应对策略研究

The Empowerment of Precision Ideological and Political Education Through Big Data: Challenges and Strategic Responses

摘要:

精准思政是指通过大数据技术精准把握学生思想动态,实现个性化的思政教育。大数据赋能高校精准思政通过精准把握学生思想特征、精准供给思政内容及精准评估思政效果三个方面,为高校思政教育带来了革命性的变革,然而,大数据赋能高校精准思政的过程却面临着数据信息失衡、教师技术能力不足及大数据推送信息同质化等现实困境。因此,文章提出构建数据共享机制、提升教师技术运用能力、优化大数据推送算法等策略,以提升思政教育的针对性和实效性,从而推动高校精准思政在大数据时代的持续发展和创新。

Abstract:

Precision ideological and political education refers to the use of big data to accurately grasp students’ ideological tendencies and achieve personalized ideological and political education. In this sense, big data can empower precision ideological and political education in universities through three key dimensions: precise identification of students’ ideological characteristics, targeted delivery of educational content, and accurate evaluation of pedagogical outcomes, thereby bringing revolutionary changes to ideological and political education in universities. However, this process faces practical challenges, including data imbalances, insufficient technological proficiency among teachers, and homogenized information pushed by big data algorithms. Therefore, this paper proposes some strategies such as building a data-sharing mechanism, enhancing teachers’ technical application capabilities, and optimizing algorithmic recommendation systems. These measures aims to improve the pertinence and effectiveness of ideological and political education, thereby promoting the sustainable development and innovation of precision ideological and political education in universities in the era of big data.